| 2023 | A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability. Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Habiba, EuJin Foo, Nasrin Shabani, Maryam Shahabikargar |
| 2023 | A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng |
| 2023 | A Dual-Layer Privacy-Preserving Federated Learning Framework. Wenxuan Huang, Thanassis Tiropanis, George Konstantinidis |
| 2023 | A Methodological Approach for Data-Intensive Web Application Design on Top of Data Lakes. Devis Bianchini, Massimiliano Garda |
| 2023 | A Privacy-Preserving Evolutionary Computation Framework for Feature Selection. Bing Sun, Jian-Yu Li, Xiao-Fang Liu, Qiang Yang, Zhi-Hui Zhan, Jun Zhang |
| 2023 | A Semi-automatic Framework Towards Building Electricity Grid Infrastructure Management Ontology: A Case Study and Retrospective. Abdelhadi Belfadel, Maxence Gagnant, Matthieu Dussartre, Jérôme Picault, Laure Crochepierre, Sana Tmar |
| 2023 | A Web Service Oriented Integration Solution for Capital Facilities Information Handover. Elvismary Molina de Armas, Geiza Maria Hamazaki da Silva, Júlio Gonçalves Campos, Vitor Pinheiro de Almeida, Hugo Fernandes Neves, Eduardo Thadeu Leite Corseuil, Fernando Rodrigues Gonzalez |
| 2023 | ATDG: An Automatic Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism. Bo Cui, Jinling Li, Wenhan Hou |
| 2023 | An Adaptive Drilling Sampling Method and Evaluation Model for Large-Scale Streaming Data. Zhaohui Zhang, Yifei Tang, Peng Zhang, Pei Zhang, Dongxue Zhang, Pengwei Wang |
| 2023 | An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series. Sibo Qi, Juan Chen, Peng Chen, Jie Li, Wenyu Shan, Peian Wen |
| 2023 | An Ensemble-Based Approach for Generative Language Model Attribution. Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya |
| 2023 | An Integrated Interactive Framework for Natural Language to SQL Translation. Yuankai Fan, Tonghui Ren, Dianjun Guo, Zhigang Zhao, Zhenying He, X. Sean Wang, Yu Wang, Tao Sui |
| 2023 | Bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks. Phavithra Manoharan, Wei Hong, Jiao Yin, Yanchun Zhang, Wenjie Ye, Jiangang Ma |
| 2023 | Blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicular Edge Computing. Maojie Wang, Shaodong Han, Guihong Chen, Jiao Yin, Jinli Cao |
| 2023 | CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo |
| 2023 | Capo: Calibrating Device-to-Device Positioning with a Collaborative Network. Kao Wan, Zhaoxi Wu, Qian Cao, Xiaotao Zheng, Ziwei Li, Tong Li |
| 2023 | Counterfactual Explanations for Sequential Recommendation with Temporal Dependencies. Ming He, Boyang An, Jiwen Wang, Hao Wen |
| 2023 | Deep Neural Network-Based Approach for IoT Service QoS Prediction. Christson Awanyo, Nawal Guermouche |
| 2023 | Dissemination of Fact-Checked News Does Not Combat False News: Empirical Analysis. Ziyuan Jing, Basem Suleiman, Waheeb Yaqub, Manoranjan Mohanty |
| 2023 | Domain Adaptation with Sample Relation Reinforcement. Shaohua Teng, Wenjie Liu, Ruixi Guo, Wei Zhang, Zefeng Zheng, Luyao Teng, Tongbao Chen |
| 2023 | ESPRESSO: A Framework for Empowering Search on Decentralized Web. Mohamed Ragab, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos |
| 2023 | Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes. Weisheng Li, Feiyi Tang, Chao Chang, Hao Zhong, Ronghua Lin, Yong Tang |
| 2023 | Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction. Jiao Yin, Guihong Chen, Wei Hong, Hua Wang, Jinli Cao, Yuan Miao |
| 2023 | Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu |
| 2023 | Ensemble Learning Model for Medical Text Classification. Ghada Ben Abdennour, Karim Gasmi, Ridha Ejbali |
| 2023 | Fast Text Comparison Based on ElasticSearch and Dynamic Programming. Pengcheng Xiao, Peng Lu, Chunqi Luo, Zhousen Zhu, Xuehua Liao |
| 2023 | FastAGEDs: Fast Approximate Graph Entity Dependency Discovery. Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng |
| 2023 | Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions. Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere |
| 2023 | Fraudulent Jobs Prediction Using Natural Language Processing and Deep Learning Sequential Models. Jacob Dylan Pratley, Mohammad Masbaul Alam Polash |
| 2023 | Fuzzy Based Text Quality Assessment for Sentiment Analysis. Manel BenSassi, Maher Abbes, Faten Atigui |
| 2023 | GADESQL: Graph Attention Diffusion Enhanced Text-To-SQL with Single and Multi-hop Relations. Qinzhen Cao, Rui Xi, Jie Wu, Xiaowen Nie, Yubo Liu, Mengshu Hou |
| 2023 | GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. Ahmed Shoeb Talukder, Richi Nayak, Md. Abul Bashar |
| 2023 | Highly Applicable Linear Event Detection Algorithm on Social Media with Graph Stream. Lihua Liu, Mao Wang, Haiwei Jiang, Ziming Li, Peifan Shi, Youhuan Li |
| 2023 | ICAD: An Intelligent Framework for Real-Time Criminal Analytics and Detection. Raed Abdallah, Hassan Harb, Yehia Taher, Salima Benbernou, Rafiqul Haque |
| 2023 | Identification and Generation of Actions Using Pre-trained Language Models. Senthil Ganesan Yuvaraj, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Fethi Rabhi |
| 2023 | Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding. Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li |
| 2023 | Incorporating Social-Aware User Preference for Video Recommendation. Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu |
| 2023 | Influence Embedding from Incomplete Observations in Sina Weibo. Wei Huang, Guohao Sun, Mei Wang, Weiliang Zhao, Jian Yang |
| 2023 | Informative Anchor-Enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-Based Recommendation. Ronghua Lin, Luyao Teng, Feiyi Tang, Hao Zhong, Chengzhe Yuan, Chengjie Mao |
| 2023 | Knowledge-Grounded Dialogue Generation with Contrastive Knowledge Selection. Bin Wang, Fuyong Xu, Zhenfang Zhu, Peiyu Liu |
| 2023 | Label-Dependent Hypergraph Neural Network for Enhanced Multi-label Text Classification. Xuqiang Xue, Xiaoming Wu, Shengnan Li, Xiangzhi Liu, Man Li |
| 2023 | Learning to Select the Relevant History Turns in Conversational Question Answering. Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Subhash Sagar, Adnan Mahmood, Yang Zhang |
| 2023 | Leveraging Sequential Episode Mining for Session-Based News Recommendation. Mozhgan Karimi, Boris Cule, Bart Goethals |
| 2023 | Leveraging Social Networks for Mergers and Acquisitions Forecasting. Alessandro Visintin, Mauro Conti |
| 2023 | Link Prediction for Opportunistic Networks Based on Hybrid Similarity Metrics and E-LSTM-D Models. Xiaoying Yang, Lijie Li, Gang Xu, Ming Song, Feng Zhang |
| 2023 | Local Difference-Based Federated Learning Against Preference Profiling Attacks. Qian Zhou, Zhongxu Han, Jiayang Wu |
| 2023 | Math Information Retrieval with Contrastive Learning of Formula Embeddings. Jingyi Wang, Xuedong Tian |
| 2023 | Meta-learning for Estimating Multiple Treatment Effects with Imbalance. Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu |
| 2023 | Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples. Ting Huang, Xike Xie, Xiufeng Liu |
| 2023 | Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System. Shipeng Zhang, Jing Liu |
| 2023 | Noise-Augmented Contrastive Learning for Sequential Recommendation. Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang |
| 2023 | Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction. Liu Yang, Jie Zhao, Jun Long, Jincai Huang, Zidong Wang, Tingxuan Chen |
| 2023 | Prediction of Student Performance with Machine Learning Algorithms Based on Ensemble Learning Methods. Israa Alqatow, Amjad Rattrout, Rashid Jayousi |
| 2023 | Primary Building Blocks for Web Automation. Adrian Sterca, Virginia Niculescu, Camelia Chisalita-Cretu, Cristina-Claudia Osman |
| 2023 | Priv-S: Privacy-Sensitive Data Identification in Online Social Networks. Yuzi Yi, Nafei Zhu, Jingsha He, Xiangjun Ma, Yehong Luo |
| 2023 | Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index. Liang Zhu, Shilan Zhang, Xin Song, Qin Ma, Weiyi Meng |
| 2023 | Prompt-Learning for Semi-supervised Text Classification. Chengzhe Yuan, Zekai Zhou, Feiyi Tang, Ronghua Lin, Chengjie Mao, Luyao Teng |
| 2023 | SML: Semantic Machine Learning Model Ontology. Lara Kallab, Elio Mansour, Richard Chbeir |
| 2023 | Scaling Machine Learning with an Efficient Hybrid Distributed Framework. Kankan Zhao, Youfang Leng, Hui Zhang, Xiyu Gao |
| 2023 | Self-attention Convolutional Neural Network for Sequential Recommendation. Vadin James Sudarsan, Mohammad Masbaul Alam Polash |
| 2023 | Solving Injection Molding Production Cost Problem Based on Combined Group Role Assignment with Costs. Shaohua Teng, Yanhang Chen, Luyao Teng, Zefeng Zheng, Wei Zhang |
| 2023 | Study on Credit Risk Control by Variational Inference. Kun Wang, Ang Li, Xiaokun Wang, Lili Sun |
| 2023 | TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization. Mingshan You, Yong-Feng Ge, Kate N. Wang, Hua Wang, Jinli Cao, Georgios Kambourakis |
| 2023 | TSEGformer: Time-Space Dimension Dependency Transformer for Use in Multivariate Time Series Prediction. Yuan Feng, Qing Yu |
| 2023 | Task-Driven Neural Natural Language Interface to Database. Yuquan Yang, Qifan Zhang, Junjie Yao |
| 2023 | The Impact on Employability by COVID-19 Pandemic - AI Case Studies. Venkata Bharath Bandi, Xiaohui Tao, Thanveer Shaik, Jianming Yong, Ji Zhang |
| 2023 | Topological Network Field Preservation for Heterogeneous Graph Embedding. Jiale Xu, Ouxia Du, Siyu Liu, Ya Li |
| 2023 | Towards Robust Token Embeddings for Extractive Question Answering. Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu |
| 2023 | Unsupervised Representation Learning with Semantic of Streaming Time Series. Chengyang Ye, Qiang Ma |
| 2023 | User Context-Aware Attention Networks for Answer Selection. Yuyang He, Juntao Zhang, Xiandi Yang, Zhiyong Peng |
| 2023 | Web Information Systems Engineering - WISE 2023 - 24th International Conference, Melbourne, VIC, Australia, October 25-27, 2023, Proceedings Feng Zhang, Hua Wang, Mahmoud Barhamgi, Lu Chen, Rui Zhou |
| 2023 | Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach. Minh-Hieu Huynh, Quoc-Tri Le, Vu Nguyen, Tien Nguyen |
| 2023 | Word-Graph2vec: An Efficient Word Embedding Approach on Word Co-occurrence Graph Using Random Walk Technique. Wenting Li, Jiahong Xue, Xi Zhang, Huacan Chen, Zeyu Chen, Feijuan Huang, Yuanzhe Cai |